Fundamentos de Interfaces Homem-Máquina

Objectives

The main objective of Principles of human-machine interfaces is to provide the insight and understanding of the working principles of the brain computer interfaces, namely the two most common method based on P-300 and Steady-State Visual Evoked Potential. The students should learn, understand and apply the basic principles of: 1- Recording and stimulus methods 2- P300 principle 3- Steady-State Visual Evoked Potential principle 4- Detection and classification of Event Related Potentials 5- Spatial Filters and Cannonical Correlation Analysis 6- Training, accuracy and Information Transfer Rate

Syllabus

1- Brain-Computer Interfaces 2- Neuronal Activity in Motor Cortex nad related area 3- Electric and magnetic fields produced by the brain 4- Signals reflecting Brain metabolic activity 5- Acquiring brain signals from within the brain 6- Acquiring signals from outside of the brain 7- BCI signal processing: feature extraction 8- BCI Signal processing:feature translation 9- BCI Hardware and Software 10- BCI operationg protocols 11- BCI applications 12- P300 event-related potential 13- Steady-state visual evoked potential.

Prerequisites

Without prerequisites to attend the curricular unit

Cross Competence Component

The UC allows the development of soft Skills in several of the groups defined in the Relatório Comissão para as Competências Transversais mainly in the context of the project developed in this course and worth 30% of the final grade of the course. The highlights are the "Critical and Innovative Thinking (Problem Solving Strategies)" components, namely the "Critical Thinking", "Creativity" and "Problem Solving Strategies" components, Interpersonal Skills (group / team work and presentation) of the laboraorty reports and project), Intrapersonal Skills (autonomy in the realization of the project that promotes the self-discipline and preservation essential for meeting deadlines and proposing conclusions and obtaining results) and finally the Information and Media Literacy component that is enhanced by the bibliographic research work needed for the realization, the work itself and the corresponding report.

Laboratorial Component

The laboratory component consists of three 3-hour laboratory sessions every other week. P300 BCI sessions practice SSVEP BCI sessions practice

Programming And Computing Component

This UC has a small component in computing and programming mainly in the laboratory and project (60%). In the project component students have to do work involving feature extraction and target classification in MatLab environment.

Ethical Principles

All members of a group are responsible for the group’s work In any assessment every student shall honestly disclose any help received and sources used. In an oral assessment, every student shall be alble to present and answer questions about the entire assignment and solution.